Amazon Seller + Make

Amazon Seller to Make Integration - Built by Harvard-educated Experts

Tired of copying data between Amazon Seller and Make by hand? Our Harvard-educated automation team builds a custom integration that syncs your data in real time - set up in 2 weeks.

8+ hours/week

Saved weekly

3 months

Post-launch support

12+

Years experience

One-way

Sync direction

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Why Connect Amazon Seller to Make?

Online orders in Amazon Seller and in-store inventory in Make are never in sync, frustrating customers

Manually copying data between Amazon Seller and Make wastes hours every week that could be spent on revenue-generating work

Make adds complexity: steeper learning curve than Zapier, particularly for non-technical users unfamiliar with the concepts of routers, iterators, and data mapping

Reporting across Amazon Seller and Make requires painful manual exports and spreadsheet merges

Amazon Seller uses a REST API while Make uses REST + Webhook, requiring careful middleware to translate data formats between the two platforms

No single source of truth when orders live in two disconnected tools, so staff second-guess which system has the correct information

Production order data in Amazon Seller and inventory levels in Make are reconciled manually, risking stock-outs

How We Help

With 12+ helping mid-market Australian businesses, we have built dozens of integrations between e-commerce and automation platforms. Connecting Amazon Seller to Make is a proven workflow we deploy in 2 weeks. On the technical side, Amazon Seller uses a REST API with OAuth authentication, which our team handles as part of the build.

Eliminate Manual Data Entry

Stop copying data between Amazon Seller and Make by hand. Our integration syncs data automatically, saving your team 8+ hours/week.

Built-In Error Handling and Alerts

Our integrations include automatic retries, error queuing, and real-time notifications. If something fails between Amazon Seller and Make, your team knows immediately and the system self-recovers where possible.

Unlock Make Value

Make stands out because visual scenario builder with a node-based interface is more intuitive for complex multi-step workflows than Zapier linear approach. Integrating it with Amazon Seller means your team gets this benefit with complete, accurate data flowing in automatically.

Omnichannel Inventory Accuracy

Keep online and in-store stock levels synchronised between Amazon Seller and Make. Customers see accurate availability regardless of how they shop.

Amazon Seller to Make Use Cases

Automated error handling and retry for Amazon Seller/Make sync

When a sync between Amazon Seller and Make fails due to a rate limit, network issue, or validation error, the integration retries automatically with exponential backoff. Your team is alerted only when intervention is genuinely needed.

Data Mapping

How data flows between Amazon Seller and Make

Amazon Seller	→	Make	Notes
Amazon Seller Record IDs	→	Make External References	Cross-reference identifiers stored on both records for bidirectional lookups and deduplication
Amazon Seller Timestamps	→	Make Audit Log	Created and modified timestamps preserved for sync conflict resolution and compliance
Amazon Seller Owner/Assignee	→	Make Owner/Assignee	Record ownership mapped between platforms using email address as the matching key
Amazon Seller Returns	→	Make Custom Fields	Returns data from Amazon Seller stored in Make custom fields for reference
Amazon Seller Shipments	→	Make Custom Fields	Shipments data from Amazon Seller stored in Make custom fields for reference
Amazon Seller Products	→	Make Custom Fields	Products data from Amazon Seller stored in Make custom fields for reference
Amazon Seller Orders	→	Make Custom Fields	Orders data from Amazon Seller stored in Make custom fields for reference
Amazon Seller Inventory	→	Make Custom Fields	Inventory data from Amazon Seller stored in Make custom fields for reference

Amazon Seller + Make Integration FAQ

By default, we configure Amazon Seller to Make as a one-way sync, but bi-directional sync is possible if your workflow requires it. We will assess the best approach during the discovery session.

Absolutely. Custom field mapping is a core part of every integration we build. Whether it is custom properties in Amazon Seller or user-defined fields in Make, we map them precisely to your requirements. We can also transform data formats, apply business rules, and handle conditional mappings.

Yes. we poll Amazon Seller's REST API at configurable intervals for near-real-time detection, and Make also provides webhook support for bidirectional triggers. Changes in Amazon Seller are reflected in Make within seconds. For high-volume scenarios, we implement queuing to handle peak loads without data loss.

Our integrations include retry logic and error queuing. If Make is temporarily down, changes are queued and replayed once the system recovers. You will receive alerts for any sync failures that need attention. No data is lost during outages.

We use a combination of direct REST API connections and automation platforms like Make, Zapier, or n8n, depending on your requirements and budget. For complex workflows, we build custom middleware. The right approach depends on your volume, sync frequency, and business rules.

Our integrations include comprehensive error handling: automatic retries for transient failures (respecting API rate limits), error queuing for system outages, data validation before writes, and real-time alerts for issues that need human attention. We also provide a dashboard where you can monitor sync health and review error logs.

The most common data objects synced between Amazon Seller and Make include orders, products, inventory. We map each data type to its counterpart in the target system, including custom fields, metadata, and relationship data. The exact scope is tailored to your workflow during the discovery session.